A Novel Plastic Phase‐Field Method for Ductile Fracture with GPU Optimization. (24th November 2020)

• Record Type: Journal Article
• Authors: Zhao, Zipeng; Huang, Kemeng; Li, Chen; Wang, Changbo; Qin, Hong
• Is Part Of: Computer graphics forum. Volume 39:Number 7(2020)
• Page Start: 105
• Page End: 117
• Publication Date: 2020-11-24
• Subjects: CCS Concepts -- Computing methodologies → Physical simulation -- Parallel algorithms; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14130
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: In this paper, we articulate a novel plastic phase‐field (PPF) method that can tightly couple the phase‐field with plastic treatment to efficiently simulate ductile fracture with GPU optimization. At the theoretical level of physically‐based modeling and simulation, our PPF approach assumes the fracture sensitivity of the material increases with the plastic strain accumulation. As a result, we first develop a hardening‐related fracture toughness function towards phase‐field evolution. Second, we follow the associative flow rule and adopt a novel degraded von Mises yield criterion. In this way, we establish the tight coupling of the phase‐field and plastic treatment, with which our PPF method can present distinct elastoplasticity, necking, and fracture characteristics during ductile fracture simulation. At the numerical level towards GPU optimization, we further devise an advanced parallel framework, which takes the full advantages of hierarchical architecture. Our strategy dramatically enhances the computational efficiency of preprocessing and phase‐field evolution for our PPF with the material point method (MPM). Based on our extensive experiments on a variety of benchmarks, our novel method's performance gain can reach 1.56× speedup of the primary GPU MPM. Finally, our comprehensive simulation results have confirmed that this new PPF method can efficiently and realistically simulate complex ductile fracture phenomena in 3D interactive graphics and animation.